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An end-to-end data pipeline which extracts divvy bikeshare data from web loads it into data lake and datawarehouse transforms it using dbt and finally , a dashboard to visualize the data using looker studio, the pipeline is orchestrated using prefect
This repository contains a custom connector script to fetch university data from universities.hipolabs.com and visualize it in Looker Studio using Google Apps Script.
This is a PySpark-based data pipeline that fetches weather data for a few cities, performs some basic processing and transformation on the data, and then writes the processed data to a Google Cloud Storage bucket and a BigQuery table.The data is then viewed in a looker dashboard
The pipeline resides in Google BigQuery, providing dynamic insights into inventory availability and accurate demand forecasting in Vertex AI. The culmination of our efforts is a user-friendly dashboard developed on Google's Looker Studio.
This ETL (Extract, Transform, Load) project demonstrates the process of extracting data from a SQL Server database, transforming it using Python, orchestrating the data pipeline with Apache Airflow (running in a Docker container), loading the transformed data into Google BigQuery data warehouse, and finally creating a dashboard using Looker Studio.
Repositori ini berisi dokumentasi pengerjaan tugas Virtual Internship Experience Big Data Analytics di Kimia Farma yang difasilitasi oleh Rakamin Academy.
Analysis of 311 Service Requests for the City of NYC (from 2010 to 2023) Tech: Prefect cloud, dbt core, BigQuery, Compute Engine, CloudRun, Artifact Registry, Terraform, Docker